Metastructural facets of granular computing

Authors:
Witold Pedrycz
Affiliations:
Department of Electrical and Computer Engineering, University of Alberta, Edmonton AB T6R 2G7, Canada/ System Research Institute, Polish Academy of Sciences, Warsaw, Poland
Venue:
International Journal of Knowledge Engineering and Soft Data Paradigms
Year:
2009

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Abstract

In this study, we pursue fundamental ideas of granular computing by concentrating on further conceptual developments of metastructures which are inherently associated with computing involving a large number of distributed datasets. We show that such processing leads to the representatives of information granules and granular models in the form of metastructures and metamodels. The formulation of the concept is provided and presented along with some essential algorithmic developments and pertinent optimisation strategies.